Triple
T36828417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra |
E910070
|
entity |
| Predicate | top500CountryRank |
P64948
|
FINISHED |
| Object | fastest supercomputer in the United States (June 2018) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: fastest supercomputer in the United States (June 2018) | Statement: [Sierra, top500CountryRank, fastest supercomputer in the United States (June 2018)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: top500CountryRank Context triple: [Sierra, top500CountryRank, fastest supercomputer in the United States (June 2018)]
-
A.
countryRanking
Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
-
B.
countryRankingContext
chosen
Indicates the contextual framework or criteria under which a country's ranking is determined or interpreted.
-
C.
gdpRank
Indicates the relative position of an entity in a ranking ordered by its gross domestic product (GDP) compared to others.
-
D.
wealthRanking
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
E.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabbc1008190a77cf3b503edb7df |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:13 p.m.